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Patent 2126307 Summary

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Claims and Abstract availability

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(12) Patent: (11) CA 2126307
(54) English Title: COMPRESSION/DECOMPRESSION METHOD FOR IMAGE DATA
(54) French Title: METHODE DE COMPRESSION-DECOMPRESSION DE DONNEES D'IMAGERIE
Status: Expired
Bibliographic Data
(51) International Patent Classification (IPC):
  • H04N 7/12 (2006.01)
  • H04N 7/54 (2006.01)
  • H04N 7/26 (2006.01)
  • H04N 7/30 (2006.01)
(72) Inventors :
  • WATANABE, MITSUHIRO (Japan)
(73) Owners :
  • ACER INC. (Taiwan, Province of China)
(71) Applicants :
(74) Agent: SMART & BIGGAR
(74) Associate agent:
(45) Issued: 1998-10-13
(22) Filed Date: 1994-06-20
(41) Open to Public Inspection: 1994-12-22
Examination requested: 1994-06-20
Availability of licence: N/A
(25) Language of filing: English

Patent Cooperation Treaty (PCT): No

(30) Application Priority Data:
Application No. Country/Territory Date
172114/1993 Japan 1993-06-21

Abstracts

English Abstract




A compression/decompression method for image
data allows addition of a code amount control amount in
units of data of one block without necessitating an
excessive header capacity. In compression, a
quantization conversion coefficient of a quantization
conversion coefficient set is replaced with a code
amount control amount, and a resulted quantization
conversion coefficient set is coded, whereafter a
quantization coefficient of a quantization coefficient
set corresponding to the code amount control amount of
the quantization conversion coefficient set is changed
to 0. In decompression, the quantization coefficient
set is extracted, and coded data are decoded in units of
data of one block. Then, the code amount control amount
is extracted from the quantization conversion
coefficient set of the decoded data.


French Abstract

L'invention a trait à une méthode de compression/décompression de données d'imagerie qui permet d'ajouter une valeur code valeur contrôle dans les unités de données d'un bloc sans faire appel à une capacité d'en-tête excessive. Au cours du processus de compression, le coefficient de conversion de la quantification d'un ensemble de coefficient de conversion de quantification est remplacé par une valeur code valeur contrôle et l'ensemble de coefficient de conversion de quantification obtenu est codé, puis un coefficient de quantification d'un ensemble de coefficient de quantification correspondant à la valeur code valeur contrôle de l'ensemble de coefficient de conversion de quantification est remplacé par 0. Au cours du processus de décompression, il faut extraire l'ensemble de coefficient de quantification et les données codées sont décodées en unités de données d'un bloc. Ensuite la valeur code valeur contrôle est extraite de l'ensemble de coefficient de quantification des données décodées.

Claims

Note: Claims are shown in the official language in which they were submitted.



The embodiments of the invention in which an exclusive property
or privilege is claimed are defined as follows.

1. A compression/decompression method for image
data, comprising:
a code amount control amount replacing step of
replacing one of quantization conversion coefficients of
a quantization conversion coefficient set with a code
amount control amount;
a coding step of coding the quantization
conversion coefficient set obtained by the replacement
to produce coded data;
a decoding step of decoding the coded data in
units of data of one block to obtain another
quantization conversion coefficient set; and
a code amount control amount extracting step of
extracting, from the quantization conversion coefficient
set obtained by the decoding, the code amount control
amount which has been replaced by the one quantization
conversion coefficient.
2. A compression/decompression method for image
data as claimed in claim 1, wherein the quantization
conversion coefficient to be replaced with the code
amount control amount and the quantization conversion
coefficient from which the code amount control amount is
to be extracted are a maximum frequency component of the



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quantization conversion coefficient set.
3. A compression method for image data,
comprising:
a raster/block converting step of converting
raster data into block data of m*n dots, m and n being
positive integral numbers;
a spatial frequency converting step of
converting the block data obtained by the conversion by
spatial frequency conversion to produce a conversion
coefficient set;
a code amount control amount deciding step of
deciding a code amount control amount (k) for making
uniform the amount of codes to be generated from the
conversion coefficient set obtained by the spatial
frequency conversion;
a quantizing step of dividing the conversion
coefficient set obtained by the spatial frequency
conversion by a quantization coefficient set determined
in advance for data of each one block and the code
amount control amount;
a code amount control amount replacing step of
replacing one of quantization conversion coefficients of
a quantization conversion coefficient set obtained by
the quantization with the code amount control amount;



-29-


a coding step of coding the quantization
conversion coefficient set obtained by the replacement
to produce coded data;
a quantization coefficient masking step of
changing a quantization coefficient of the quantization
coefficient set which corresponds to the quantization
conversion coefficient of the quantization conversion
coefficient set to be replaced with the code amount
control amount to 0; and
a composing step of composing, when block data
for one frame are coded, the coded data obtained by the
coding at the coding step and the quantization
coefficient set whose quantization coefficient has been
changed to 0 at the quantization coefficient masking
step to produce compressed data.
4. A compression method for image data as
claimed claim 3, wherein the spatial frequency
conversion is discrete cosine transformation.
5. A compression method for image data as
claimed in claim 3, wherein the quantization conversion
coefficient to be replaced with the code amount control
amount is a maximum frequency component of the
quantization conversion coefficient set.
6. A decompression method for image data,



-30-


comprising:
a separating step of separating coded data and a
quantization coefficient set from compressed data;
a quantization coefficient set extracting step
of extracting the separated quantization coefficient
set;
a decoding step of decoding the coded data
separated at the separating step in units of data of one
block to obtain a quantization conversion coefficient
set;
a code amount control amount extracting step of
extracting, from the quantization conversion coefficient
set obtained by the decoding, a code amount control
amount which has been replaced by one of quantization
conversion coefficients;
a dequantizing step of multiplying the
quantization conversion coefficient set obtained by the
decoding at the decoding step by the quantization
coefficient set extracted at the quantization
coefficient set extracting step and the code amount
control amount extracted at the code amount control
amount extracting step to effect dequantization;
an inverse spatial frequency converting step of
converting the conversion coefficient set obtained by



-31-



the dequantization by inverse spatial frequency
conversion; and
a block/raster converting step of performing
deblocking processing to convert block data obtained by
the inverse spatial frequency conversion into raster
data.
7. A decompression method for image data as
claimed in claim 6, wherein the inverse spatial
frequency conversion is inverse discrete cosine
transform.
8. A decompression method for image data as
claimed in claim 6, wherein the quantization conversion
coefficient from which the code amount control amount is
to be extracted is a maximum frequency component of the
quantization conversion coefficient set.
9. A compression/decompression method for image
data, comprising:
a raster/block converting step of converting
raster data into block data of m*n dots, m and n being
positive integral numbers;
a spatial frequency converting step of
converting the block data obtained by the conversion by
spatial frequency conversion to produce a conversion
coefficient set;



-32-


a code amount control amount deciding step of
deciding a code amount control amount for making uniform
the amount of codes to be generated from the conversion
coefficient set obtained by the spatial frequency
conversion;
a quantizing step of dividing the conversion
coefficient set obtained by the spatial frequency
conversion by a quantization coefficient set determined
in advance for data of each one block and the code
amount control amount;
a code amount control amount replacing step of
replacing one of quantization conversion coefficients of
a quantization conversion coefficient set obtained by
the quantization with the code amount control amount;
a coding step of coding the quantization
conversion coefficient set obtained by the replacement
to produce coded data;
a quantization coefficient masking step of
changing a quantization coefficient of the quantization
coefficient set which corresponds to the quantization
conversion coefficient of the quantization conversion
coefficient set to be replaced with the code amount
control amount to 0;
a composing step of composing, when block data



-33-


for one frame are coded, the coded data obtained by the
coding at the coding step and the quantization
coefficient set whose quantization coefficient has been
changed to 0 at the quantization coefficient masking
step to produce compressed data;
a separating step of separating the coded data
and the quantization coefficient set from compressed
data;
a quantization coefficient set extracting step
of extracting the separated quantization coefficient
set;
a decoding step of decoding the coded data
separated at the separating step in units of data of one
block to obtain the quantization conversion coefficient
set;
a code amount control amount extracting step of
extracting, from the quantization conversion coefficient
set obtained by the decoding, the code amount control
amount which has been replaced by the quantization
conversion coefficient;
a dequantizing step of multiplying the
quantization conversion coefficient set obtained by the
decoding at the decoding step by the quantization
coefficient set extracted at the quantization



-34-


coefficient set extracting step and the code amount
control amount extracted at the code amount control
amount extracting step to effect dequantization;
an inverse spatial frequency converting step of
converting the conversion coefficient set obtained by
the dequantization by inverse spatial frequency
conversion; and
a block/raster converting step of performing
deblocking processing to convert block data obtained by
the inverse spatial frequency conversion into raster
data.
10. A compression/decompression method for
image data as claimed in claim 9, wherein the spatial
frequency conversion is discrete cosine transformation,
and the inverse spatial frequency conversion is inverse
discrete cosine transformation.
11. A compression/decompression method for
image data as claimed in claim 9, wherein the
quantization conversion coefficient to be replaced with
the code amount control amount and the quantization
conversion coefficient from which the code amount
control amount is to be extracted are a maximum
frequency component of the quantization conversion
coefficient set.



-35-


12. A compression/decompression method for
image data, comprising:
a coding step of coding a code amount control
amount and a quantization conversion coefficient set as
data of one block to produce coded data;
a decoding step of decoding the coded data in
units of data of one block to obtain decoded data; and
a code amount control amount/quantization
conversion coefficient set separating step of separating
the decoded data obtained by the decoding into the code
amount control amount and the quantization conversion
coefficient set.
13. A compression/decompression method for
image data as claimed in claim 12, wherein the first
components of the coded data and the decoded data are
the code amount control amount, and the second to 65th
components are the quantization conversion coefficients.
14. A compression method for image data,
comprising:
a raster/block converting step of converting
raster data into block data of m*n dots, m and n being
positive integral numbers;
a spatial frequency converting step of
converting the block data obtained by the conversion by



-36-



spatial frequency conversion to produce a conversion
coefficient set;
a code amount control amount deciding step of
deciding a code amount control amount for making uniform
the amount of codes to be generated from the conversion
coefficient set obtained by the spatial frequency
conversion;
a quantizing step of dividing the conversion
coefficient set obtained by the spatial frequency
conversion at the spatial frequency converting step by a
quantization coefficient set determined in advance for
data of each one block and the code amount control
amount;
a coding step of coding the code amount control
amount decided at the code amount control amount
deciding step and the quantization conversion
coefficient set obtained by the quantization at the
quantizing step as data of one block to produce coded
data; and
a composing step of composing, when block data
for one frame are coded, the coded data obtained by the
coding at the coding step and the quantization
coefficient set to produce compressed data.
15. A compression method for image data as



-37-



claimed in claim 14, wherein the spatial frequency
conversion is discrete cosine transformation.
16. A compression method for image data as
claimed in claim 14, wherein the first component of the
coded data is the code amount control amount, and the
second to 65th components are the quantization
conversion coefficients.
17. A decompression method for image data,
comprising:
a separating step of separating coded data and a
quantization coefficient set from compressed data;
a quantization coefficient set extracting step
of extracting the separated quantization coefficient;
a decoding step of decoding the coded data
separated at the separating step in units of data of one
block to obtain decoded data;
a code amount control amount/quantization
conversion coefficient set separating step of separating
the decoded data obtained by the decoding into a code
amount control amount and a quantization conversion
coefficient set;
a dequantizing step of multiplying the separated
quantization conversion coefficient by the quantization
coefficient set extracted at the quantization



-38-



coefficient set extracting step and the code amount
control amount to effect dequantization;
an inverse spatial frequency converting step of
converting the conversion coefficient set obtained by
the dequantization by inverse spatial frequency
conversion; and
a block/raster converting step of performing
deblocking processing to convert block data obtained by
the inverse spatial frequency conversion into raster
data.
18. A decompression method for image data as
claimed in claim 17, wherein the inverse spatial
frequency conversion is inverse discrete cosine
transform.
19. A decompression method for image data as
claimed in claim 17, wherein the first component of the
decoded data is the code amount control amount, and the
second to 65th components are the quantization
conversion coefficients.
20. A compression/decompression method for
image data, comprising:
a raster/block converting step of converting
raster data into block data of m*n dots, m and n being
positive integral numbers;



-39-


a spatial frequency converting step of
converting the block data obtained by the conversion by
spatial frequency conversion to produce a conversion
coefficient set;
a code amount control amount deciding step of
deciding a code amount control amount for making uniform
the amount of codes to be generated from the conversion
coefficient set obtained by the spatial frequency
conversion;
a quantizing step of dividing the conversion
coefficient set obtained by the spatial frequency
conversion at the spatial frequency converting step by a
quantization coefficient set determined in advance for
data of each one block and the code amount control
amount;
a coding step of coding the code amount control
amount decided at the code amount control amount
deciding step and the quantization conversion
coefficient set obtained by the quantization at the
quantizing step as data of one block to produce coded
data;
a composing step of composing, when block data
for one frame are coded, the coded data obtained by the
coding at the coding step and the quantization



-40-


coefficient set to produce compressed data;
a separating step of separating the coded data
and the quantization coefficient set from compressed
data;
a quantization coefficient set extracting step
of extracting the separated quantization coefficient;
a decoding step of decoding the coded data
separated at the separating step in units of data of one
block to obtain decoded data;
a code amount control amount/quantization
conversion coefficient set separating step of separating
the decoded data obtained by the decoding into the code
amount control amount and the quantization conversion
coefficient set;
a dequantizing step of multiplying the separated
quantization conversion coefficient by the quantization
coefficient set extracted at the quantization
coefficient set extracting step and the code amount
control amount to effect dequantization;
an inverse spatial frequency converting step of
converting the conversion coefficient set obtained by
the dequantization by inverse spatial frequency
conversion; and
a block/raster converting step of performing



-41-


deblocking processing to convert block data obtained by
the inverse spatial frequency conversion into raster
data.
21. A compression/decompression method for
image data as claimed in claim 20, wherein the spatial
frequency conversion is discrete cosine transformation,
and the inverse spatial frequency conversion is inverse
discrete cosine transformation.
22. A compression/decompression method for
image data as claimed in claim 20, wherein the first
components of the coded data and the decoded data are
the code amount control amount, and the second to 65th
components are the quantization conversion coefficients.

-42-

Description

Note: Descriptions are shown in the official language in which they were submitted.


21~6307


Compression/Decompression Method for Image Data



BACKGROUND OF THE INVENTION
1. Field of the Invention
This invention relates to a
compression/decompression method for image data, and
more particularly, to a compression/decompression method
for image data for controlling the amount of codes to be
generated.
2. Description of the Related Art
In conventional compression/decompression
methods for image data, control of the amount of codes
is performed in units of one frame (screen) using a
quantization table in accordance with the JPEG (Joint
Photographic Coding Experts Group) standards.
Also systems which control the amount of codes
in units of a block of m*n (m and n are positive
integral numbers) dots are already known. With the
systems, however, since the amount of codes is
controlled in units of a block, a large number of code
amount control amounts are generated for one frame. It
is a possible countermeasure to prepare a header for
each one frame at a top portion of compressed data after


2126307


coding and store a large number of code amount control
amounts into the header in order to store the large
number of code amount control amounts. However, where
code amount control amounts are stored in the header, it
is difficult to determine to which block data a code
amount control amount corresponds and besides the
capacity for storing code amount control amounts is -
required excessively.
Further, also image coding systems wherein image
data are divided for individual blocks and an optical - -~
image conversion method is selected for each block to
effect compression are known (refer to Japanese Patent
Laid-Open Application No. Showa 61-285869). However,
since the criterion for selection of which system is
optimum is unknown, they are not very practical in use
while the processing is increased.
In the conventional compression/decompression
methods for image data described above, when control of
the amount of codes is performed in units of a block,
since the number of blocks is varied by the image size, ~
also the number of code amount control amounts varies ~ :
correspondingly. Consequently, the size of a header for
storing code amount control amounts varies. The
conventional compression/decompression methods are thus



--2--

2126307


disadvantageous in that the management of the headers is
complicated as much and it is inconveniently complicated
to establish the corresponding relationship of the
individual code amount control amounts ~o the individual
blocks.
Further, where a header is used for storage of
code amount control amounts, since code amount control
amounts for one frame must be stored, there is a
drawback that also the header capacity must be prepared
excessively, resulting in inefficient use of the header
capacity.


~. :
SUMMARY OF THE INVENTION
It is an obJect of the present invention to
provide a compression/decompression method for image
data wherein a code amount control amount can be added
in units of data of one block without necessitating an
excessive header amount.
It is another ob~ect of the present invention to
provide a compression/decompression method wherein a
code amount control amount can be added in units of data
of one block without performing replacement between a
quantization conversion coefficient and the code amount
control amount.



--3--

2126307

According to an aspect of the present invention,
there is provided a compressiontdecompression method for
image data which comprises a code amount control amount .
replacing step of replacing one of quantization
conversion coefficients of a quantization conversion
coefficient set with a code amount control amount, a
coding step of coding the quantization conversion
coefficient set obtained by the replacement to produce
coded data, a decoding step of decoding the coded data
in units of data of one block to obtain another :~
quantization conversion coefficient set, and a code -~
amount control amount extracting step of extracting,
from the quantization conversion coefficient set
obtained by the decoding, the code amount control amount
which has been replaced by the one quantization
conversion coefficient. .
According to another aspect of the present :
invention, there is provided a compression method for
image data, which comprises a raster/block converting
step of converting raster data into block data of m*n .
dots, m and n being positive integral numbers, a spatial
frequency converting step of converting the block data
obtained by the conversion by spatial frequency
conversion to produce a conversion coefficient set, a



--4--
"-''':'
::

212630 7

code amount control amount deciding step of deciding a
code amount control amount (k) for making uniform the
amount of codes to be generated from the conversion
coefficient set obtained by the spatial frequency
conversion, a quantizing step of dividing the conversion
coefficient set obtained by the spatial frequency
conversion by a quantization coefficient set determined
in advance for data of each one block and the code
amount control amount, a code amourlt control amount
replacing step of replacing one of quantization
conversion coefficients of a quantization conversion
coefficient set obtained by the quantization with the
code amount control amount, a coding step of coding the
quantization conversion coefficient set obtained by the
replacement to produce coded data, a quantization
coefficient masking step of changing a quantization
coefficient of the quantization coefficient set which
corresponds to the quantization conversion coefficient
of the quantization conversion coefficient set to be
replaced with the code amount control amount to 0, and a
composing step of composing, when block data for one ~:
frame are coded, the coded data obtained by the coding
at the coding step and the quantization coefficient set
whose quantization coefficient has been changed to O at

: .
-5~
. - : .

2126307


the quantization coefficient masking step to produce
compressed data. :
According to a further aspect of the present
invention, there is provided a decompression method for
:, ,,
image data, which decompresses image data compressed in
accordance with the compression method and comprises a
separating step of separating coded data and a
quantization coefficient set from compressed data, a
quantization coefficient set extracting step of
extracting the separated quantization coefficient set, a
decoding step of decoding the coded data separated at
the separating step in units of data of one block to ~-
obtain a quantization conversion coefficient set, a code
amount control amount extracting step of extracting,
from the quantization conversion coefficient set
obtained by the decoding, a code amount control amount
which has been replaced by one of quantization
conversion coefficients, a dequantizing step of
multiplying the quantization conversion coefficient set
obtained by the decoding at the decoding step by the
quantization coefficient set extracted at the
quantization coefficient set extracting step and the
code amount control amount extracted at the code amount
control amount extracting step to effect dequantization,



-6-

2126307


an inverse spatial frequency converting step of
converting the conversion coefficient set obtained by
the dequantization by inverse spatial frequency
conversion, and a block/raster converting step of
performing deblocking processing to convert block data :
obtained by the inverse spatial frequency conversion
into raster data.
According to a still further aspect of the
present invention, there is provided a
compression/decompression method, which comprises a
coding step of coding a code amount control amount and a
quantization conversion coefficient set as data of one
block to produce coded data, a decoding step of decoding
the coded data in units of data of one block to obtain
decoded data, and a code amount control
amount/quantization conversion coefficient set
separating step of separating the decoded data obtained
by the decoding into the code amount control amount and
the quantization conversion coefficient set.
According to a yet further aspect of the present
invention, there is provided a compression method for
image data, which comprises a raster/block converting
step of converting raster data into block data of m*n ;
dots, m and n bein~ positive integral numbers, a spatial
:, . .

~7~

2126307


frequency converting step of converting the block data :

obtained by the conversion by spatial frequency : :
:
conversion to produce a conversion coefficient set, a
code amount control amount deciding step of deciding a ~ :
code amount control amount for making uniform the amount
of codes to be generated from the conversion coefficient
set obtained by the spatial frequency conversion, a
quantizing step of dividing the conversion coefficient
set obtained by the spatial frequency conversion at the
spatial frequency converting step by a quantization
coefficient set determined in advance for data of each
one block and the code amount control amount, a coding
step of coding the code amount control amount decided at
the code amount control amount deciding step and the
quantlzation conversion coefficient set obtained by the
quantization at the quantizing step as data of one block
to produce coded data, and a composing step of ~ : :
composing, when block data for one frame are coded, the
coded data obtained by the coding at the coding step and
the quantization coefficient set to produce compressed
data.
According to a yet further aspect of the present
invention, there is provided a decompression method for
image data, which decompresses image data compressed in



-8-

" ~':


2126307


accordance with the compression method and comprises a
separating step of separating coded data and a
quantization coefficient set from compressed data, a
quantization coefficient set extracting step of
extracting the separated quantization coefficient, a
decoding step of decoding the coded data separated at
the separating step in units of data of one block to
obtain decoded data, a code amount control
amount/quantization conversion coefficient set
separating step of separating the decoded data obtained
by the decoding into a code amount control amount and a
quantization conversion coefficient set, a dequantizing
step of multiplying the separated quantization
conversion coefficient by the quantization coefficient
set extracted at the quantization coefficient set
extracting step and the code amount control amount to ~ -
effect dequantization, an inverse spatial frequency .
converting step of converting the conversion coefficient
set obtained by the dequantization by inverse spatial ;~ .
frequency conversion, and a block/raster converting step ;~
of performing deblocking processing to convert block :~
data obtained by the inverse spatial frequency
conversion into raster data.
With the compression/decompression methods of

_g_

2126307


the present invention, since a code amount control
amount is replaced with one of quantization conversion
coefficients of a quantization conversion coefficient
set, a code amount control amount can be added in units ~
of data of one block without necessitating excessive -
header data. Particularly as regards a quantization
conversion coefficient set obtained by spatial frequency
conversion such as DCT transformation, if a code amount
control amount is allocated to a quantization conversion
coefficient of a maximum frequency component, then this
is convenient since it will not cause deterioration of
the picture quality.
Further, since a code amount control amount is
added to a quantization conversion coefficient set to
make data for one block, advantageously a code amount
control amount can be added to each quantization
conversion coefficient set without performing
replacement between a quantization conversion
., :. :
coefficient and a code amount control amount. ~ -

The above and other ob~ects, features and
, , , . , . .;
advantages of the present invention will become apparent
from the following description and the appended claims,
taken in conjunction with the accompanying drawings in
which like parts or elements are denoted by like



--10-- ::

2126307


referenee characters.



BRIEF DESCRIPTION OF THE DRAWINGS
FIGS. l(a) and l(b) are flow charts illustrating
the processing of a compression method and a
decompression method, respeetively, of a
compression/decompression method for image data to which
the present invention is applied;
FIGS. 2(a) and 2(b) are diagrammatie views
illustrating quantization and dequantization,
respeetively, in the eompression/deeompression method
for image data illustrated in FIGS. l(a) and l~b);
FIGS. 3(a) and 3(b) are diagrammatie views
showing examples of numerieal values of the quantization ~:
and the dequantization, respeetively, in the
eompression/deeompression method for image data
illustrated in FIGS. l(a) and l(b); ~:
FIGS. 4(a) and 4(b) are flow charts illustrating
the proeessing of a eompression method and a
deeompression method, respeetively, o~ another
compression/deeompression method for image data to which
the present invention is applied; and
FIG. 5 is a diagrammatic view illustrating the
construction of block data employed in the



--11-- -

2126307


compression/decompression method for image data
illustrated in FIGS. 4(a) and 4(b).



DESCRIPTION OF THE PREFERRED EMBODIMENTS
FIG. l(a) illustrates the processing of a
compression method of a compression/decompression method
for image data to which the present invention is
applied. The present compression method comprises a
raster/block converting step S1 of converting raster
data into block data of, for example, 8*8 dots, a DCT
transforming step S2 of transforming the block data
obtained by the conversion by discrete cosine
transformation (DCT) to produce a conversion coefficient :: -
set [Sii], a code amount control amount deciding step S3
of deciding a code amount control amount k for making
uniform the amount of codes to be generated from the
conversion coefficient set [Sij] obtained by the DCT
transformation at step S2, a quantizing step S4 of
dividing the conversion coefficient set [Si;] obtained
by the DCT transformation at the DCT transforming step
S2 by a quantization coefficient set [Qi;] determined in :
advance for data of each one block and the code amount
control amount k, a code amount control amount replacing .
step S5 of replacing a quantization conversion

2126307
\



coefficient Rss of a maximum frequency component of a
quantization conversion coefficient set [Rij] obtained
by the quantization at step S4 with the code amount
control amount k, a coding step S6 o-~ coding the
quantization conversion coefficient set [Rij'] obtained
at step S5 to produce coded data, a quantization
coefficient masking step S7 of changing a quantization
coefficient Qss of the quantization coefficient set
[Qij] which corresponds to the quantization conversion
coefficient Rss to be replaced with the code amount :, :
control amount k to O to produce another quantization
coefficient set [Qij'], and a composing step S8 of - :
composing, when block data for one frame are coded, the
coded data and the quantization coefficient set [Qij'] . . :.
to produce compressed data.
FIG. l(b) illustrates the processing of a
decompression method of the compression/decompression
method for image of the present embodiment. The present
decompression method comprises a separating step S11 of
separating the coded data and the quantization
coefficient set [Qij'] from the compressed data, a
quantization coefficient set extracting step S12 of
extracting the quantization coefficient set [Qij']
separated at step S11, a decoding step S13 of decoding



-13-

- 2126307

the coded data separated at the separating step S11 in
units of data of one block to obtain the quantization
conversion coefficient set [Rij'], a code amount control
amount extracting step S14 of extracting, from the
quantization conversion coefficient set [Rij'] obtained
by the decoding at step S13, the code amount control
amount k which has been replaced by the quantization
conversion coefficient Rs 8 of the maximum frequency
component, a dequantizing step S15 of multiplying the
quantization conversion coefficient set [Rii'] obtained ~ -
by the decoding at the decoding step S13 by the
quantization coefficient set [Qij'] extracted at the
quantization coefficient set extracting step S12 and the
code amount control amount k extracted at the code
amount control amount extracting step S14 to effect
dequantization, an inverse DCT transforming step S16 of
transforming the conversion coefficient set [Sij']
obtained by the dequantization at step S15 by inverse
DCT transformation, and a block/raster converting step :
S17 of performing deblocking processing to convert block
data obtained by the inverse DCT transformation at step
S16 into raster data.
Subsequently, such compression method and
decompression methods of the compression/decompression



-14-

':

2126307


method for image data of the first embodiment will be
described in detail.
(1) Compression Method
After image data (raster data) are fetched, the
raster data are converted into block data of 8*8 dots at
step S1.
Then at step S2, the block data obtained by the
conversion at step S1 are transformed by DCT
transformation to produce a conversion coefficient set ~ -~
[Sij] (i = 1 to 8, ~ = 1 to 8) (refer to, for example,
the conversion coefficient set [Sij] of FIG. 2(a~
Subsequently, at step S3, a code amount control
amount k (> O, a real number) for making uniform the ~-
amount of codes to be generated from the conversion
coefficient set [Sij] obtained by the DCT transformation
at step S2 is decided. In order to effect control of
the amount of codes, the quantization coefficient set
[Qij] should be multiplied by the code amount control
amount k, and when the amount of codes is equal to or
greater than an aimed value, k should be set to 1 ' k,
, .
but when the amount of codes is smaller than the aimed
value, k should be set to O < k < 1. For example, where
the sum total ~Sij of the conversion coefficient set
[Sij] is represented by A and the aimed amount of codes



-15-

'- 2~26307

is represented by B, since the amount of codes is
inclined to increase in proportion to the sum total A of
the conversion coefficient set [Slj], the equation k =
(A/B)-(l/C) is set and the conversion coefficient set
[Sij] at which the amount of codes when the code
conversion set [S;j] is coded is equal to B is -
determined empirically while the constant C at which k
is equal to 1 with the values of A and B then is
determined in advance, and then k is determined from the
equation above.
Then at step S4, the conversion coefflcient set
[Sij] obtained by the DCT transformation at step S2 are
divided by the quantization coefficient set [Qij]
determined in advance for data of each one block and the :~
code amount control amount k to effect quantization. In
particular, conversion coefficients Sij of the :
conversion coefficient set [Si~] are divided by
corresponding quantization coefflcients Qi; of the
quantization coefficient set [Qij] multiplied by the
code amount control amount k, and the quotients are
rounded to obtain a quantization conversion coefficient
set [Rij] consisting of quantization conversion
coefficients Rij. FIG. 3(a) illustrates concrete
examples of numerical values when the code amount



-16-

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control amount k is k = 2.
Subsequently, at step S5, the quantization
conversion coefficient Rs8 of a maximum frequency
component of the quantization conversion coefficient set
[Rij] obtained by the quantization at the quantizing
step S4 is replaced with the code amount control amount ;~:
k to obtain another quantization conversion coefficient
set [Rij'].
Then at step S6, the quantization conversion
coefficient set [Ri;'] obtained at the code amount
control amount replacing step S5 is coded by Huffman
coding or a like coding method to obtain coded data.
Then, it is discriminated at next step S10.
whether or not block data for one frame have been coded,
and if block data for one frame have not been coded,
then the control sequence returns to step S1. '
Meanwhile, at step S7, a quantization
coefficient set [QiJ'] wherein the quantization
coefficient Qss of the quantization coefficient set
[Qij] corresponding to the quantization conversion
coefficient Rs 8 has been changed to O is obtained. In
particular, the one quantization coefficient Qss of the
quantization coefficient set [Qij] is operated to change
the value of it to O to mask the quantization conversion


212630 7


coefficient Rss (= k) of the quantization conversion
coefficient set [Rij] corresponding to this portion. By
doing this, at the later dequantizing step S15, a
conversion coefficient S8 8 of the conversion coefficient
set [Sij'] corresponding to the quantization coefficient
Qss is changed to O without fail. Normally, since the
conversion coefficients Sij of high frequency components ;~
of the conversion coefficient set [Sij'] are in most -~
cases equal to O after quantization, the quantization
coefficient Q8 8 at this portion is operated. By the
operation in this manner, the quantization conversion
coefficient Rs8 of the masked portion is all changed to
O whatever arbitrary values have been there, and
accordingly, when the code amount control amount k is
replaced with the quantization conversion coefficient
Rss, the conversion coefficient set lSij'] is not
changed by the value of the code amount control amount k
at all.
When block data for one frame are coded, the
coded data for one frame and the quantization
coefficient set [Qij'] are composed to produce
compressed data at the composing step S8, thereby ending
the processing.
(2) Decompression Method

~. ~
-18-

2~26307


After compressed data are inputted, eoded data
for one frame and a quantization coefficient set [Qlj'] .
are separated from each other at step S11.
Then at step S12, the quantization coefficient
set [Qij'] is extracted.
Subsequently at step S13, the eoded data for one
bloek are deeoded to obtain a quantization conversion
coefficient set [Rij'].
Then at step S14, the code amount control amount
k is extracted from the quantization conversion
eoeffieient Rss of the quantization conversion
coeffieient set [Rij~.
Subsequently at step S15, the quantization
eonversion coefficients Rij of the quantization
eonversion eoeffieient set [Rij'] are multiplied by the
quantization eoeffieients Qij of the quantization
eoeffieient set [Qij'] and the eode amount control
amount k to effect dequantization to obtain a eonversion
coeffieient set [Sij']. FIG. 3(b) shows examples of
numerieal values when the eode amount eontrol amount k
is k = 2.
Then at step S16, the eonversion coefficient set
[Sij'] is transformed by inverse DCT transformation to
obtain block data.



-19-

2126307


Subsequently, at step S17, the block data are
processed by deblocking processing to convert the same
into raster data.
Such decompression processing at the steps S13
to S17 as described above is repeated for data of each
one block for one frame, and after it is discriminated
at step S18 that the decompression processing for one
frame is completed, reproduction of image data is :
completed thereby.
It is to be noted that, while, in the first
embodiment described above, raster data of one frame are
divided into block data of 8*8 dots, the size of block :
data is not limited to 8*8 dots, but raster data can be
divided generally into block data of m*n (m and n are
positive integral numbers) dots. Further, while the
quantization conversion coefficient Rss of the maximum ~: ;
frequency component of the quantization conversion . _A.'.
coefficient set [Riil is replaced with the code amount
control amount k, it is a matter of course that the :
quantization conversion coefficient to be replaced with
the code amount control amount k is not limited to the
quantization conversion coefficient Rs8.
FIG. 4(a) is a illustrates the processing of a
compression method of the compression/decompression



-20- ~ ;

2126307


method for image data according to a second embodiment
of the present invention. The present compression
method for image data includes a raster/block converting
step S41 of converting raster data into block data of
8*8 dots, a DCT transforming step S42 of transforming
the block data obtained by the conversion at step S41 by
DCT transformation to produce a conversion coefficient
set [Sij], a code amount control amount deciding step
S43 of deciding a code amount control amount k for
making uniform the amount of codes to be produced from ~ :
the conversion coefficient set [Sij] obtained by the DCT
transformation at step S42, a quantizing step S44 of
dividing the conversion coefficient set [Sij~ obtained
by the DCT transformation at the DCT transforming step
S42 by a quantization coefficient set [Qij] determined
in advance for data of each one block and the code
amount control amount k to effect quantization, a coding
step S45 of coding the code amount control amount k
decided at the code amount control amount deciding step
S43 and the quantization conversion coefficient set
[Rij] obtained by the quantization at the quantizing
step S44 to produce coded data, and a composing step S46
of composing, when block data for one frame are coded,
the coded data and the quantization coefficient set



-21-

2126307


[Qij] to produce compressed data.
FIG. 4(b) illustrates the processing of a
decompression method of the compression/decompression
method for image data according to the second embodiment
of the present invention. The present decompression :~
method for image data comprises a separating step S51 o~
separating the coded data and the quantization
coefficient set [Qij] from the compressed data, a
quantization coefficient set extracting step S52 of
extracting the quantization coefficient set [Qij]
separated at step S51, a decoding step S53 o~ decoding
the coded data separated at the separating step S51 in
units of data of one block to obtain the decoded data, a
code amount control amount/quantization conversion
coefficient set separating step S54 of separating the
decoded data obtained by the decoding at step S53 into
the code amount control amount k and the quantization
conversion coefficient set [Rlj], a dequantizing step
S55 of multiplying the quantization conversion
coefficient set [Rij] obtained by the separation at step
S54 by the quantization coefficient set [Q;j] and the
code amount control amount k to effect dequantization to ~ ~
produce the conversion coefficient set [Sij'], an ~;:-
inverse DCT transforming step S56 of transforming the



-22- :~




.~' . " i ,' ~ ?~ c

21 2630 7


conversion coefficient set [Sij] obtained by the
dequantization at step S55 by inverse DCT
transformation, and a block/raster converting step S57
of performing deblocking processing to convert the block
data obtained by the inverse DCT transformation at step
S56 into the raster data.
Normally, when it is tried to code the
quantization conversion coefficient set [Rij] by
Huffman coding, Huffman coded data are constituted from
a run length, a group number and an EOB (End of Block)
in units of data for one block of the quantization
conversion coefficient set [Ri;], but in the
compression/decompression method for image data of the
present embodiment, Huffman coded data are constructed
such that the first component of block data is ensured
as a portion for a code amount control amount k and the
second to 65th components include effective data ~ a run
length ~ a group number. Further, the breakpoint of the
quantization conversion coefficient set [Ri;] is - ;
provided by an EOB or effective data.
Subsequently, such compression method and
decompression method of the compression/decompression ~ ~;
method for image data of the second embodiment will be
described in detail.



-23-

" 2126307

(1) Compression Method
When image data (raster data) are fetched, the
raster data are converted into block data of 8*8 dots at
step S41.
Then at step S42, the block data obtained by the
conversion at step S41 are transformed by DCT
transformation to produce a conversion coefficient set

~Si j ]-
Subsequently, at step S43, a code amount control ~ :
amount k (> O, a real number) for making uniform the
amount of codes to be produced from the conversion
coefficient set [Sij] obtained by the DCT transformation
at step S42 is decided similarly as at the code amount
control amount deciding step S3 of FIG. l(a).
Then at step S44, the conversion coefficient set
[Sij] obtained by the DCT transformation at step S42 is
divided by a quantlzation coefficient set [Qij]
determined in advance for data of each one block and the
code amount control amount k and the quotient is rounded
to effect quantization to obtain a quantization
conversion coefficient [Rij].
Subsequently, at step S45, the code amount
control amount k decided at step S43 and the
quantization conversion coefficient set [Rij~ obtained



-24-




:- , . , , ,~ , -
;, , ;: .

2126307


at step S44 are coded by Huffman coding or a like coding
method to produce coded data for data of one block. In
particular, the code amount control amount k is coded
and then a dc component of the quantization conversion
coefficien~ set [Rii] is coded, and when the ac
components of the quantization conversion coefficient
set [R,j] include an effective coefficient, the
effective coefficient is coded. This coding is
performed until after the ac components include no more
effective coefficient.
Then, it is discriminated at step S47 whether or
not block data for one frame have been coded, and if
block data for one frame have not been coded, then the
control sequence returns to step S41.
When block data for one frame are coded, at step
S46, the coded data for one frame and the quantization
coeffieient set [Qij] are composed to produee compressed
data, thereby ending the proeessing.
(Z) Deeompression Method ~ ;~
After eompressed data are inputted, eoded data
for one frame and a quantization coefficient set [Rii]
are separated from the compressed data at step S51.
Then at step S52, a quantization coefficient set
[Qij] is extracted. ~ ~



-25- ;
,~

212630 7


Subsequently at step S53, coded data for one
block are decoded to obtain a code amount control amount
k and a quantization conversion coefficient set [Rii].
Then at step S54, the code amount control amount
k and the quantization conversion coefficient set [Rij]
are separated from each other.
Subsequently, at step S55, the quantization
conversion coefficient set [Rii] is multiplied by the
quantization coefficient set ~Qij] and the code amount
control amount k to effect dequantization to produce a
conversion coefficient set [Sij'].
Then at step S56, the conversion coefficient set
[Sij] is transformed by inverse DCT transformation to
reproduce block data.
Subsequently at step S57, deblocking processing
is performed to convert the block data into raster data.
Such decompresslon processing of the steps S53
to S57 as described above is repeated for data of each
one block for one frame, and if it is discriminated at
step S18 that the decompression processing is completed
for one frame, reproduction of image data for one frame
is completed thereby.
It is to be noted that, while, in the second
embodlment described above, the flrst component of block



-26-




: ' ~
, ~ . ... . .. ..

2126307


data is ensured as a portion for a code amount control
amount k, it is matter of course that the portion to be
ensured as a portion for a code amount control amount k
need not necessarily be the first component of block
data but may be any other portion.
Further, while, in the embodiments described
above, the case wherein DCT transformation is used as
spatial frequency conversion is described by way of an
example, it is a matter of course that some other
transform such as Hadamard transform, K-L (Karhunen-
Loeve) transform, DST (Discrete Sine Transformation) may
be used. ;
Having now fully described the invention, it
will be apparent to one of ordinary skill in the art
that many changes and modifications can'be made thereto
without departing from the spirit and scope of the :;
invention as set forth herein.




-27-
'.~ '-'."


Representative Drawing
A single figure which represents the drawing illustrating the invention.
Administrative Status

For a clearer understanding of the status of the application/patent presented on this page, the site Disclaimer , as well as the definitions for Patent , Administrative Status , Maintenance Fee  and Payment History  should be consulted.

Administrative Status

Title Date
Forecasted Issue Date 1998-10-13
(22) Filed 1994-06-20
Examination Requested 1994-06-20
(41) Open to Public Inspection 1994-12-22
(45) Issued 1998-10-13
Expired 2014-06-20

Abandonment History

There is no abandonment history.

Payment History

Fee Type Anniversary Year Due Date Amount Paid Paid Date
Application Fee $0.00 1994-06-20
Registration of a document - section 124 $0.00 1994-11-25
Maintenance Fee - Application - New Act 2 1996-06-20 $100.00 1996-04-16
Maintenance Fee - Application - New Act 3 1997-06-20 $100.00 1997-05-16
Final Fee $300.00 1998-05-11
Maintenance Fee - Application - New Act 4 1998-06-22 $100.00 1998-05-19
Maintenance Fee - Patent - New Act 5 1999-06-21 $150.00 1999-05-18
Maintenance Fee - Patent - New Act 6 2000-06-20 $150.00 2000-05-15
Maintenance Fee - Patent - New Act 7 2001-06-20 $150.00 2001-05-16
Maintenance Fee - Patent - New Act 8 2002-06-20 $150.00 2002-05-16
Maintenance Fee - Patent - New Act 9 2003-06-20 $150.00 2003-05-20
Maintenance Fee - Patent - New Act 10 2004-06-21 $250.00 2004-05-17
Maintenance Fee - Patent - New Act 11 2005-06-20 $250.00 2005-05-09
Maintenance Fee - Patent - New Act 12 2006-06-20 $250.00 2006-05-05
Maintenance Fee - Patent - New Act 13 2007-06-20 $250.00 2007-05-07
Maintenance Fee - Patent - New Act 14 2008-06-20 $250.00 2008-05-12
Registration of a document - section 124 $100.00 2009-05-06
Maintenance Fee - Patent - New Act 15 2009-06-22 $450.00 2009-06-04
Maintenance Fee - Patent - New Act 16 2010-06-21 $450.00 2010-05-11
Maintenance Fee - Patent - New Act 17 2011-06-20 $450.00 2011-05-11
Maintenance Fee - Patent - New Act 18 2012-06-20 $450.00 2012-05-10
Maintenance Fee - Patent - New Act 19 2013-06-20 $450.00 2013-05-08
Owners on Record

Note: Records showing the ownership history in alphabetical order.

Current Owners on Record
ACER INC.
Past Owners on Record
NEC CORPORATION
WATANABE, MITSUHIRO
Past Owners that do not appear in the "Owners on Record" listing will appear in other documentation within the application.
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Document
Description 
Date
(yyyy-mm-dd) 
Number of pages   Size of Image (KB) 
Abstract 1995-06-09 1 52
Drawings 1995-06-09 9 295
Description 1995-06-09 27 1,649
Cover Page 1998-10-09 1 48
Cover Page 1995-06-09 1 68
Claims 1995-06-09 15 966
Correspondence 2010-09-03 1 16
Correspondence 1998-05-11 1 33
Prosecution Correspondence 1994-06-20 10 259
Office Letter 1996-07-16 1 20
PCT Correspondence 1996-06-24 1 40
Assignment 2009-05-06 4 106
Fees 2009-06-04 1 34
Correspondence 2010-08-10 1 46
Correspondence 2010-08-10 2 101
Fees 1997-05-16 1 44
Fees 1996-04-16 1 50